CN108875677A - Passenger flow volume statistical method and device, storage medium, terminal - Google Patents
Passenger flow volume statistical method and device, storage medium, terminal Download PDFInfo
- Publication number
- CN108875677A CN108875677A CN201810696379.2A CN201810696379A CN108875677A CN 108875677 A CN108875677 A CN 108875677A CN 201810696379 A CN201810696379 A CN 201810696379A CN 108875677 A CN108875677 A CN 108875677A
- Authority
- CN
- China
- Prior art keywords
- region
- shop
- passerby
- flow
- video data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
Abstract
A kind of passenger flow volume statistical method and device, storage medium, terminal, the method includes：Obtain the video data of video area；The video data is identified, to determine passerby region, into shop region and separates the passerby region and into the separator bar in shop region；Humanoid detection is carried out to the video data；According to the testing result of humanoid detection, determines and enter the number into shop region from the passerby region in preset duration, be denoted as into customer's flow.The present invention program can more accurately be determined into customer's flow, to help to provide more accurate authority for the specific running of commercial activity.
Description
Technical field
The present invention relates to field of computer technology, more particularly, to a kind of passenger flow volume statistical method and device, storage medium,
Terminal.
Background technique
It is most important to the analysis of the volume of the flow of passengers in entity sale.Specifically, in business such as solid shop/brick and mortar store investment, foundation
In behavior, the volume of the flow of passengers and purchasing power are very important parameter.
However, be often only capable of generally estimating a small amount of parameter in the existing statistical method to the volume of the flow of passengers, such as
Deduced by purchaser record into shop Number of Customers, causes to lack accuracy.
A kind of passenger flow volume statistical method is needed, solid shop/brick and mortar store can be directed to, more accurately count the quantity into shop customer,
Authority is provided for the specific running of commercial activity.
Summary of the invention
It, can be with the technical problem to be solved by the present invention is to provide a kind of passenger flow volume statistical method and device, storage medium, terminal
It more accurately determines into customer's flow, to help to provide more accurate authority for the specific running of commercial activity.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of passenger flow volume statistical method, include the following steps：It obtains
Take the video data of video area；The video data is identified, to determine passerby region, into shop region and separates institute
State passerby region and the separator bar into shop region；Humanoid detection is carried out to the video data；According to the detection knot of humanoid detection
Fruit determines and enters the number into shop region from the passerby region in preset duration, is denoted as into customer's flow.
Optionally, the passenger flow volume statistical method further includes：It determines in preset duration other than the region into shop
Region enters the number in the passerby region, is denoted as passerby's volume of the flow of passengers.
Optionally, the passenger flow volume statistical method further includes：According to described into customer's flow and passerby's passenger flow
Amount, determine in the preset duration into shop conversion ratio.
Optionally, the video data is identified, to determine passerby region, into shop region and separates the passerby
Region and separator bar into shop region include：According to the feature of shop door, the shop door and ground are determined in the video data
Intersecting lens, using as the separator bar.
Optionally, the video data is identified, to determine passerby region, into shop region and separates the passerby
Region and separator bar into shop region further include：According to preset passerby's region area, the boundary line in the passerby region is determined,
To obtain the passerby region；The boundary line into shop region is determined into shop region area according to preset, it is described to obtain
Into shop region.
Optionally, the passerby region and into shop region be X-Y scheme.
Optionally, the feature of the shop door is selected from following one or more：The color of shop door, the size of shop door, shop door
Position.
Optionally, the passenger flow volume statistical method further includes：Using passerby region described in different color markings and
It is described into shop region and to show.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of passenger volume statistic device, including：Module is obtained,
Suitable for obtaining the video data of video area；Area determination module, suitable for being identified to the video data, to determine passerby
Region into shop region and separates the passerby region and into the separator bar in shop region；Detection module is suitable for the video counts
According to the humanoid detection of progress；It is determined in preset duration into customer's flow determining module suitable for the testing result according to humanoid detection
The number into shop region is entered from the passerby region, is denoted as into customer's flow.
Optionally, the passenger volume statistic device further includes：Passerby's volume of the flow of passengers determining module, when being suitable for use in determining default
From the number for entering the passerby region with exterior domain into shop region in long, it is denoted as passerby's volume of the flow of passengers.
Optionally, the passenger volume statistic device further includes：Into shop conversion ratio determining module, it is suitable for according to described into shop
The volume of the flow of passengers and passerby's volume of the flow of passengers, determine in the preset duration into shop conversion ratio.
Optionally, the area determination module includes：Separator bar determines submodule, suitable for the feature according to shop door, in institute
The intersecting lens that the shop door and ground are determined in video data is stated, using as the separator bar.
Optionally, the area determination module further includes：Passerby region determines submodule, is suitable for according to preset passerby area
Domain area determines the boundary line in the passerby region, to obtain the passerby region；Submodule is determined into shop region, is suitable for root
The boundary line into shop region is determined into shop region area according to preset, it is described into shop region to obtain.
Optionally, the passerby region and into shop region be X-Y scheme.
Optionally, the feature of the shop door is selected from following one or more：The color of shop door, the size of shop door, shop door
Position.
Optionally, the passenger volume statistic device further includes：Display module, suitable for using described in different color markings
It passerby region and described into shop region and shows.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of storage medium, it is stored thereon with computer instruction,
The step of computer instruction executes above-mentioned passenger flow volume statistical method when running.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of terminal, including memory and processor, it is described to deposit
The computer instruction that can be run on the processor is stored on reservoir, when the processor runs the computer instruction
The step of executing above-mentioned passenger flow volume statistical method.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that：
In embodiments of the present invention, the video data of video area is obtained；The video data is identified, with determination
Passerby region into shop region and separates the passerby region and into the separator bar in shop region；People is carried out to the video data
Shape detection；According to the testing result of humanoid detection, determine described in being entered in preset duration from the passerby region into Dian Qu
The number in domain is denoted as into customer's flow.It using the above scheme, can be by being identified to video data to determine passerby area
Domain into shop region and separates the passerby region and into the separator bar in shop region, and determines and enter from the passerby region
To the number into shop region, compared with the prior art in generally estimated by the parameters such as purchaser record into customer's flow
Meter, using the scheme of the embodiment of the present invention, can more accurately determine into customer's flow, to facilitate as commercial activity
Specific running provides more accurate authority.
Further, in embodiments of the present invention, it can also determine in preset duration from described into shop region with exterior domain
Into the number in the passerby region, the passerby's volume of the flow of passengers for entering the passerby region is determined, thus to locating for the solid shop/brick and mortar store
The volume of the flow of passengers of position carries out objective statistical, helps further to provide authority for the specific running of commercial activity.
Further, the passerby region is separated and when into the separator bar in shop region determining, it can according to specific needs really
Passerby region and the boundary line into shop region are determined, to avoid causing practicability to drop due to passerby region and into shop is regions curing
It is low, to improve user experience.
Detailed description of the invention
Fig. 1 is a kind of flow chart of passenger flow volume statistical method in the embodiment of the present invention；
Fig. 2 is a kind of flow chart of specific embodiment of step S12 in Fig. 1；
Fig. 3 is a kind of application scenarios schematic diagram of passenger flow volume statistical method in the embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of passenger volume statistic device in the embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of specific embodiment of area determination module 42 in Fig. 4.
Specific embodiment
In the existing statistical method to the volume of the flow of passengers, often it is only capable of generally estimating a small amount of parameter, causes to lack
Accuracy.
The present inventor has found after study, in the prior art, usually only to the passenger flow in the area where shops
Amount is generally estimated, such as belongs to shopping centre, residential block estimation volume of the flow of passengers etc. according to location, or be only capable of according to purchase
Record or actual sales revenue judges the purchasing power of customer, cause to the statistics shortage accuracy of the volume of the flow of passengers and rich.
In embodiments of the present invention, the video data of video area is obtained；The video data is identified, with determination
Passerby region into shop region and separates the passerby region and into the separator bar in shop region；People is carried out to the video data
Shape detection；According to the testing result of humanoid detection, determine described in being entered in preset duration from the passerby region into Dian Qu
The number in domain is denoted as into customer's flow.It using the above scheme, can be by being identified to video data to determine passerby area
Domain into shop region and separates the passerby region and into the separator bar in shop region, and determines and enter from the passerby region
To the number into shop region, compared with the prior art in generally estimated by the parameters such as purchaser record into customer's flow
Meter, using the scheme of the embodiment of the present invention, can more accurately determine into customer's flow, to facilitate as commercial activity
Specific running provides more accurate authority.
It is understandable to enable above-mentioned purpose of the invention, feature and beneficial effect to become apparent, with reference to the accompanying drawing to this
The specific embodiment of invention is described in detail.
Referring to Fig.1, Fig. 1 is a kind of flow chart of passenger flow volume statistical method in the embodiment of the present invention.The guest flow statistics
Method may include step S11 to step S14：
Step S11：Obtain the video data of video area；
Step S12：The video data is identified, to determine passerby region, into shop region and separates the mistake
Objective region and separator bar into shop region；
Step S13：Humanoid detection is carried out to the video data；
Step S14：According to the testing result of humanoid detection, determination enters institute from the passerby region in preset duration
The number into shop region is stated, is denoted as into customer's flow.
In the specific implementation of step S11, the video data of the video area can be the figure by installing in shops
As sensor acquisition, described image sensor can be for example optical camera, infrared photography head etc..
Further, the camera can be selected from：Fish-eye camera and strabismus camera.
In embodiments of the present invention, include fish-eye camera and/or strabismus camera by the way that camera is arranged, help to expand
Big coverage.
Preferably, the video data of the video area can be collected in multiple cameras, and the multiple camera is taken the photograph
As region can cover a certain range of public domain except the shops and shops, help to count Gu more fully hereinafter
Objective amount of access.
In the specific implementation of step S12, can separator bar by first identifying passerby region and into shop region, in turn
It determines passerby region, into shop region and separate the passerby region and into the separator bar in shop region.
Wherein, the passerby region is public domain in preset range other than shop door, be can be used for logical for pedestrian or customer
Cross, it is described into shop region be shop door within preset range shops's inner region, can be used for passing through for customer and salesman, separate institute
Stating passerby region and the separator bar into shop region can be shop door, French window or entry.
In conjunction with referring to Fig. 2 and Fig. 3, Fig. 2 is a kind of flow chart of specific embodiment of step S12 in Fig. 1.To the view
Frequency to determine passerby region, into shop region and separates the passerby region and into the separator bar in shop region according to being identified
The step of may include step S21 to step S23, each step is illustrated below.
In the step s 21, the phase of the shop door and ground can be determined in the video data according to the feature of shop door
Intersection, using as the separator bar.
Specifically, the feature of the shop door can be used for the position of the determination shop door in video data, and then described in determination
The intersecting lens of shop door and ground.
Wherein, the feature of the shop door can be selected from following one or more：Color, the size of shop door, shop door of shop door
Position.
It is identified by the color to preset shop door, aids in determining whether the position of shop door, and then in video data
Determine the intersecting lens on the shop door and ground.
By the size to preset shop door, for example, shop door width, highly confirmed, facilitate in video data
Determine the intersecting lens on shop door and ground.
Confirmed by the position to shop door, facilitates the intersection for determining the shop door and ground in video data
Line.
In step S22, according to preset passerby's region area, the boundary line in the passerby region is determined, to obtain
State passerby region.
Specifically, passerby's region area of needs can be manually entered by user, preset passerby region can also be used
Area.
It should be pointed out that the passerby region can be X-Y scheme, be used to indicate outdoors pedestrian or customer warp
The region crossed.
In step S23, according to preset into shop region area, the boundary line into shop region is determined, to obtain
It states into shop region.
Specifically, can be manually entered by user needs into shop region area, can also use preset into shop region
Area.
Into shop region can be X-Y scheme it should be pointed out that described, be used to indicate after customer enters into shop by
Region.
Referring to Fig. 3, Fig. 3 is a kind of application scenarios schematic diagram of passenger flow volume statistical method in the embodiment of the present invention.
Identified by the video data to video area 11, can determine passerby region 12, into shop region 13 and
Separate the passerby region 12 and the separator bar 14 into shop region 13.
Specifically, the phase of the shop door 15 and ground can be determined in the video data according to the feature of shop door 15
Intersection, using as the separator bar 14.
The direction of pedestrian can enter as shown in the arrow direction in Fig. 3 from the side in passerby region 12, a part of from mistake
The other side in objective region 12 is left, and passerby's passenger flow is formed；Another part enters into shop region 13, is formed and is flowed into customer.
It should be pointed out that the passerby region 12 and into shop region 13 can be X-Y scheme, so as to basis
Whether certain pedestrian enters into the boundary line of the X-Y scheme, more intuitively shows whether the pedestrian is calculated as passerby's volume of the flow of passengers
Or modeled into customer's flow compared to the modeling under three-dimensional environment using X-Y scheme, modeling difficulty can be effectively reduced.
Further, the shop door 15 and ground can be determined in the video data according to the feature of shop door 15
Intersecting lens, using as the separator bar 14.
And then using the separator bar 14 as a line boundary line in passerby region 12, according to preset 12 face of passerby region
Product, determines other three boundary lines in the passerby region 12.
And then using the separator bar 14 as a line boundary line into shop region 13, according to preset into 13 face of shop region
Product determines other three boundary lines into shop region 13.
In embodiments of the present invention, determine separate the passerby region and into shop region separator bar when, can be according to tool
Body is it needs to be determined that passerby region and the boundary line into shop region, to avoid leading to reality due to passerby region and into shop is regions curing
It is reduced with property, to improve user experience.
With continued reference to Fig. 1, in the specific implementation of step S13, humanoid detection is carried out to the video data.
Specifically, can be using conventional humanoid detection algorithm, the physical characteristic information based on people identifies, with determination
Detect customer.Wherein, the humanoid information may include a variety of humanoid features, the body for example, extracted from video data
Height, figure, movement etc..It is understood that the information content that the humanoid information includes is bigger, the accuracy of customer's detection
It is higher.
In the specific implementation of step S14, according to the testing result of humanoid detection, determine in preset duration from the mistake
Objective region enters the number into shop region, is denoted as into customer's flow.
Specifically, the preset duration can be the length for the preset time that user needs to analyze pedestrian, such as
It is one hour, one day, one week or one month.
It is understood that by being counted to all shop doors, it is available to enter in shop in the preset duration
All personnel number.
Further, duplicate removal function can also be increased in statistic algorithm, with the salesman to head store or repeatedly into shop
Interior customer carries out single statistics, to improve to the statistical accuracy into customer's flow.
In embodiments of the present invention, by being identified to video data with determine passerby region, into shop region and every
The passerby region and the separator bar into shop region are opened, and determines from the passerby region and enters the people into shop region
Number, compared with the prior art in generally estimated by the parameters such as purchaser record into customer's flow, using present invention implementation
The scheme of example, can more accurately determine into customer's flow, to help to provide more for the specific running of commercial activity
Accurate authority.
Further, the passenger flow volume statistical method can also include：It determines in preset duration from described into Dian Qu
Domain enters the number in the passerby region with exterior domain, is denoted as passerby's volume of the flow of passengers.
Specifically, the preset duration can be the length for the preset time that user needs to analyze pedestrian, such as
It is one hour, one day, one week or one month.
It is understood that by being counted to all shop doors, it is available enter in the preset duration it is described
The number of all personnel in passerby region.It, can be with by the way that the number not calculated from the passerby region is entered into shop region is arranged
It avoids computing repeatedly shop number out.
Further, duplicate removal function can also be increased in statistic algorithm, passed by with the salesman to head store or repeatedly
Customer carry out single statistics, to improve to the statistical accuracy of passerby's volume of the flow of passengers.
In embodiments of the present invention, it can also determine described in being entered in preset duration from described into shop region with exterior domain
The number in passerby region determines the passerby's volume of the flow of passengers for entering the passerby region, thus to the visitor of the solid shop/brick and mortar store present position
Flow carries out objective statistical, helps further to provide authority for the specific running of commercial activity.
Further, the passenger flow volume statistical method can also include：According to described into customer's flow and the mistake
The objective volume of the flow of passengers, determine in the preset duration into shop conversion ratio.
It specifically, can be using the numerical value into customer's flow divided by the numerical value of passerby's volume of the flow of passengers, when obtaining described default
In length into shop conversion ratio.
In embodiments of the present invention, by determining into shop conversion ratio, the pedestrian of how many ratio can be more intuitively determined
Into in shop, to help to provide authority for the specific running of commercial activity.
Further, the passenger flow volume statistical method can also include：Using passerby area described in different color markings
It domain and described into shop region and shows.
It specifically, can be when being shown to user, using passerby region described in different color markings and described into shop
Region, such as yellow can be selected to indicate the passerby region, select blue mark described into shop region.
In embodiments of the present invention, by using passerby region described in different color markings and it is described into shop region simultaneously
Family can be used when watching video to user in display, passerby situation of the direct feel into video data and into shop situation, mentions
High user experience.
Referring to Fig. 4, Fig. 4 is a kind of structural schematic diagram of passenger volume statistic device in the embodiment of the present invention.The volume of the flow of passengers
Statistic device may include：
Module 41 is obtained, suitable for obtaining the video data of video area；
Area determination module 42, suitable for being identified to the video data, to determine passerby region, into shop region and
Separate the passerby region and the separator bar into shop region；
Detection module 43 is suitable for carrying out humanoid detection to the video data；
It is determined in preset duration suitable for the testing result according to humanoid detection from institute into customer's flow determining module 44
It states passerby region and enters the number into shop region, be denoted as into customer's flow；
Passerby's volume of the flow of passengers determining module 45 is suitable for use in determining in preset duration and enters institute into shop region from described with exterior domain
The number for stating passerby region is denoted as passerby's volume of the flow of passengers；
Into shop conversion ratio determining module 46, it is suitable for determining institute into customer's flow and passerby's volume of the flow of passengers according to described
State in preset duration into shop conversion ratio；
Display module 47, suitable for using passerby region described in different color markings and described into shop region and showing.
Referring to Fig. 5, Fig. 5 is a kind of structural schematic diagram of specific embodiment of area determination module 42 in Fig. 4.The area
Domain determining module 42 may include that separator bar determines submodule 421, suitable for the feature according to shop door, in the video data really
The intersecting lens of the fixed shop door and ground, using as the separator bar.
Further, the area determination module 42 can also include：
Passerby region determines submodule 422, is suitable for determining the side in the passerby region according to preset passerby's region area
Boundary line, to obtain the passerby region；
Submodule 423 is determined into shop region, is suitable for determining the side into shop region into shop region area according to preset
Boundary line, it is described into shop region to obtain.
Further, the passerby region and into shop region can be X-Y scheme.
The feature of the shop door can be selected from following one or more：The color of shop door, the size of shop door, shop door position
It sets.
About the principle of the passenger volume statistic device, specific implementation and beneficial effect please refer to above and Fig. 1 to Fig. 2 shows
The associated description about passenger flow volume statistical method, details are not described herein again.
The embodiment of the invention also provides a kind of storage mediums, are stored thereon with computer instruction, the computer instruction
Executed when operation above-mentioned Fig. 1 to Fig. 2 shows about passenger flow volume statistical method the step of.The storage medium can be computer
Readable storage medium storing program for executing, such as may include non-volatility memorizer (non-volatile) or non-transient (non-
Transitory) memory can also include CD, mechanical hard disk, solid state hard disk etc..
The embodiment of the invention also provides a kind of terminal, including memory and processor, energy is stored on the memory
Enough computer instructions run on the processor, the processor execute above-mentioned Fig. 1 extremely when running the computer instruction
Fig. 2 shows about passenger flow volume statistical method the step of.The terminal includes but is not limited to mobile phone, computer, tablet computer etc.
Terminal device.
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (18)
1. a kind of passenger flow volume statistical method, which is characterized in that include the following steps：
Obtain the video data of video area；
The video data is identified, to determine passerby region, into shop region and separates the passerby region and into shop
The separator bar in region；
Humanoid detection is carried out to the video data；
According to the testing result of humanoid detection, determine described in being entered in preset duration from the passerby region into shop region
Number is denoted as into customer's flow.
2. passenger flow volume statistical method according to claim 1, which is characterized in that further include：
It determines in preset duration from the number for entering the passerby region with exterior domain into shop region, is denoted as passerby's passenger flow
Amount.
3. passenger flow volume statistical method according to claim 2, which is characterized in that further include：
According to described into customer's flow and passerby's volume of the flow of passengers, determine in the preset duration into shop conversion ratio.
4. passenger flow volume statistical method according to claim 1, which is characterized in that the video data is identified, with
It determines passerby region, into shop region and separate the passerby region and separator bar into shop region includes：
According to the feature of shop door, the intersecting lens of the shop door and ground is determined in the video data, using as the separation
Line.
5. passenger flow volume statistical method according to claim 4, which is characterized in that the video data is identified, with
It determines passerby region, into shop region and separate the passerby region and separator bar into shop region further includes：
According to preset passerby's region area, the boundary line in the passerby region is determined, to obtain the passerby region；
The boundary line into shop region is determined into shop region area according to preset, it is described into shop region to obtain.
6. passenger flow volume statistical method according to claim 5, which is characterized in that the passerby region and into shop region be two
Tie up figure.
7. passenger flow volume statistical method according to claim 4, which is characterized in that the feature of the shop door is selected from the next item down
Or it is multinomial：
The color of shop door, the size of shop door, shop door position.
8. passenger flow volume statistical method according to claim 1, which is characterized in that further include：
Using passerby region described in different color markings and described into shop region and show.
9. a kind of passenger volume statistic device, which is characterized in that including：
Module is obtained, suitable for obtaining the video data of video area；
Area determination module to determine passerby region, into shop region and separates institute suitable for identifying to the video data
State passerby region and the separator bar into shop region；
Detection module is suitable for carrying out humanoid detection to the video data；
It is determined in preset duration suitable for the testing result according to humanoid detection from the passerby into customer's flow determining module
Region enters the number into shop region, is denoted as into customer's flow.
10. passenger volume statistic device according to claim 9, which is characterized in that further include：
Passerby's volume of the flow of passengers determining module is suitable for use in determining in preset duration from described and enters the passerby into shop region with exterior domain
The number in region is denoted as passerby's volume of the flow of passengers.
11. passenger volume statistic device according to claim 10, which is characterized in that further include：
Into shop conversion ratio determining module, it is suitable for being determined described default according to described into customer's flow and passerby's volume of the flow of passengers
In duration into shop conversion ratio.
12. passenger volume statistic device according to claim 9, which is characterized in that the area determination module includes：
Separator bar determines submodule, and suitable for the feature according to shop door, the shop door and ground are determined in the video data
Intersecting lens, using as the separator bar.
13. passenger volume statistic device according to claim 12, which is characterized in that the area determination module further includes：
Passerby region determines submodule, is suitable for determining the boundary line in the passerby region according to preset passerby's region area, with
Obtain the passerby region；
Submodule is determined into shop region, is suitable for determining the boundary line into shop region into shop region area according to preset, with
It obtains described into shop region.
14. passenger volume statistic device according to claim 13, which is characterized in that the passerby region and into shop region be
X-Y scheme.
15. passenger volume statistic device according to claim 12, which is characterized in that the feature of the shop door is selected from next
Item is multinomial：
The color of shop door, the size of shop door, shop door position.
16. passenger volume statistic device according to claim 9, which is characterized in that further include：
Display module, suitable for using passerby region described in different color markings and described into shop region and showing.
17. a kind of storage medium, is stored thereon with computer instruction, which is characterized in that the computer instruction executes when running
The step of any one of claim 1 to 8 passenger flow volume statistical method.
18. a kind of terminal, including memory and processor, be stored on the memory to run on the processor
Computer instruction, which is characterized in that perform claim requires any one of 1 to 8 institute when the processor runs the computer instruction
The step of stating passenger flow volume statistical method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810696379.2A CN108875677B (en) | 2018-06-29 | 2018-06-29 | Passenger flow volume statistical method and device, storage medium and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810696379.2A CN108875677B (en) | 2018-06-29 | 2018-06-29 | Passenger flow volume statistical method and device, storage medium and terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108875677A true CN108875677A (en) | 2018-11-23 |
| CN108875677B CN108875677B (en) | 2020-11-17 |
Family
ID=64297171
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810696379.2A Expired - Fee Related CN108875677B (en) | 2018-06-29 | 2018-06-29 | Passenger flow volume statistical method and device, storage medium and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108875677B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111738134A (en) * | 2020-06-18 | 2020-10-02 | 北京市商汤科技开发有限公司 | Method, device, equipment and medium for acquiring passenger flow data |
| CN112232262A (en) * | 2020-10-27 | 2021-01-15 | 上海依图网络科技有限公司 | Passenger flow volume statistical method and device |
| TWI793425B (en) * | 2020-06-18 | 2023-02-21 | 遠東百貨股份有限公司 | Crowd guidance system and operation method thereof |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105512640A (en) * | 2015-12-30 | 2016-04-20 | 重庆邮电大学 | Method for acquiring people flow on the basis of video sequence |
| CN105608419A (en) * | 2015-12-15 | 2016-05-25 | 上海微桥电子科技有限公司 | Passenger flow video detection and analysis system |
| CN105678591A (en) * | 2016-02-29 | 2016-06-15 | 北京时代云英科技有限公司 | Video-analysis-based commercial intelligent operation decision-making support system and method |
| CN106650695A (en) * | 2016-12-30 | 2017-05-10 | 苏州万店掌网络科技有限公司 | Video analysis technology-based people flow tracking statistics system |
| CN106778662A (en) * | 2016-12-28 | 2017-05-31 | 苏州朗捷通智能科技有限公司 | People flow rate statistical method and system based on video |
| CN107590431A (en) * | 2017-07-27 | 2018-01-16 | 广东数相智能科技有限公司 | A kind of quantity statistics method and device based on image recognition |
| CN108182403A (en) * | 2017-12-28 | 2018-06-19 | 河南辉煌城轨科技有限公司 | Subway train passenger flow statistical method based on image |
-
2018
- 2018-06-29 CN CN201810696379.2A patent/CN108875677B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105608419A (en) * | 2015-12-15 | 2016-05-25 | 上海微桥电子科技有限公司 | Passenger flow video detection and analysis system |
| CN105512640A (en) * | 2015-12-30 | 2016-04-20 | 重庆邮电大学 | Method for acquiring people flow on the basis of video sequence |
| CN105678591A (en) * | 2016-02-29 | 2016-06-15 | 北京时代云英科技有限公司 | Video-analysis-based commercial intelligent operation decision-making support system and method |
| CN106778662A (en) * | 2016-12-28 | 2017-05-31 | 苏州朗捷通智能科技有限公司 | People flow rate statistical method and system based on video |
| CN106650695A (en) * | 2016-12-30 | 2017-05-10 | 苏州万店掌网络科技有限公司 | Video analysis technology-based people flow tracking statistics system |
| CN107590431A (en) * | 2017-07-27 | 2018-01-16 | 广东数相智能科技有限公司 | A kind of quantity statistics method and device based on image recognition |
| CN108182403A (en) * | 2017-12-28 | 2018-06-19 | 河南辉煌城轨科技有限公司 | Subway train passenger flow statistical method based on image |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111738134A (en) * | 2020-06-18 | 2020-10-02 | 北京市商汤科技开发有限公司 | Method, device, equipment and medium for acquiring passenger flow data |
| TWI793425B (en) * | 2020-06-18 | 2023-02-21 | 遠東百貨股份有限公司 | Crowd guidance system and operation method thereof |
| CN112232262A (en) * | 2020-10-27 | 2021-01-15 | 上海依图网络科技有限公司 | Passenger flow volume statistical method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108875677B (en) | 2020-11-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI723411B (en) | Anomaly detection method, device and equipment in unmanned settlement scene | |
| US10185965B2 (en) | Stay duration measurement method and system for measuring moving objects in a surveillance area | |
| EP2182469B1 (en) | System and method for sensing facial gesture | |
| TWI578272B (en) | Shelf detection system and method | |
| US20130243343A1 (en) | Method and device for people group detection | |
| CN108875677A (en) | Passenger flow volume statistical method and device, storage medium, terminal | |
| US20200387718A1 (en) | System and method for counting objects | |
| CN111263224B (en) | Video processing method and device and electronic equipment | |
| CN109063695A (en) | A kind of face critical point detection method, apparatus and its computer storage medium | |
| CN110874583A (en) | Passenger flow statistics method and device, storage medium and electronic equipment | |
| JP2022519149A (en) | Exhibition area State recognition methods, devices, electronic devices, and recording media | |
| CN102122346A (en) | Video analysis-based physical storefront customer interest point acquisition method | |
| TWI754456B (en) | Region arrangement method, apparatus and computer readable storage medium | |
| CN115249356B (en) | Identification method, device, equipment and storage medium | |
| CN109978668A (en) | Based on the matched transaction customer recognition methods of timestamp, system, equipment and medium | |
| CN115601672A (en) | VR intelligent shop patrol method and device based on deep learning | |
| CN111260685B (en) | Video processing method and device and electronic equipment | |
| WO2022160592A1 (en) | Information processing method and apparatus, and electronic device and storage medium | |
| WO2021147950A1 (en) | Goods identification method, goods identification system, and electronic device | |
| CN108537189B (en) | Method and device for generating customer track map, storage medium and terminal | |
| US20130290107A1 (en) | Behavior based bundling | |
| CN108985835A (en) | Target group determines method and device, storage medium, terminal | |
| CN108830183A (en) | A kind of the merchandise control method, apparatus and system of unmanned supermarket | |
| CN109002778A (en) | Concern amount determines method and device, storage medium, terminal | |
| CN111127096B (en) | Commodity area passenger flow optimization statistical method and system based on head and shoulder and face recognition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201117 Termination date: 20210629 |